AES as Error Correction: Cryptosystems for Reliable Communication

Cohen, Alejandro; D’Oliveira, Rafael G. L.; Duffy, Ken R.; Woo, Jongchan; Médard, Muriel

doi:10.1109/lcomm.2023.3285404

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…P is a positive definite symmetric matrix designed in Equation (16). ρ i characterizes as the robust adaptive fault tolerant switching factor of the neural network between constant values 0 and 1, as shown in Equation (22).…”

Section: Robust Adaptive Fault-tolerant Controller Design For Multipl...mentioning

confidence: 99%

“…Fault-tolerance mechanism design [16][17][18]: In wireless high-mobility environments, fault tolerance problems such as channel interference and multipath effects are common. To improve the reliability and robustness of the network, adaptive fault-tolerance mechanisms need to be designed, including error detection [18,19], correction codes [20,21], and adaptive retransmission [22,23]. These fault-tolerant mechanisms can help multi-intelligentsia to recover and retransmit data in the face of errors and interferences in transmission, ensuring data integrity and reliability.…”

Section: Introductionmentioning

confidence: 99%

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Symmetric Collaborative Fault-Tolerant Control of Multi-Intelligence under Long-Range Transmission in Air–Ground Integrated Wireless High-Mobility Self-Organizing Networks

Wang,

Shao,

et al. 2024

Symmetry

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With the continuous development and progress of wireless self-organizing network communication technology, how to carry out long-distance cooperative control of multiple intelligences under the framework of an air–ground integrated wireless high-mobility self-organizing network has become a hot and difficult topic that needs to be solved urgently. This paper takes the air–ground integrated wireless high-mobility self-organizing network system as the basic framework and focuses on solving the long-distance cooperative fault-tolerant control of multi-intelligent bodies and the topological stability of a wireless mobile self-organizing network. To solve the above problems, a direct neural network with a robust adaptive fault-tolerant controller is designed in this paper. By constructing a symmetric population neural network model and combining it with the Lyapunov stabilization criterion, the system feedback matrix K has the ability of autonomous adaptive learning, and symmetrically distorts, rotates, or scales the training data to instantly adjust the system’s fault-tolerant corrections and adaptive adjusting factors to resist the unknown disturbances and faults, to achieve the goals of multi-intelligent body stable control and the stable operation of a wireless high-mobility self-organizing network topology. Simulation results show that with the feedback adjustment of the multi-system under the designed controller, the multi-system as a whole has good fault-tolerant performance and autonomous learning approximation performance, and the tracking error asymptotically converges to zero. The experimental results show that the multi-flight subsystems fly stably, the air–ground integrated wireless high-mobility self-organizing network topology has good stability performance, and the maximum relative improvement of the topology stability performance is 50%.

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Section: Robust Adaptive Fault-tolerant Controller Design For Multipl...mentioning

confidence: 99%